Power communication network equipment fault diagnosis method based on multi-controller cooperatio
A technology for power communication network and equipment failure, applied in the direction of electrical components, data exchange network, digital transmission system, etc., can solve problems such as the network environment that is not applicable to multiple controllers, and achieve guaranteed accuracy and false alarm rate performance , Reduce the loss of diagnostic information, and reduce the effect of time overhead
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Embodiment 1
[0049] Such as Figure 1 to Figure 6 Shown is the first embodiment of a multi-controller cooperative power communication network equipment fault diagnosis method of the present invention, which is applied to an SDN software-defined network. The power communication network equipment includes a main controller and several communication devices connected to the main controller. A sub-controller, a plurality of transponders are connected in communication on the sub-controller, and the method comprises the following steps:
[0050] S1. Build a fault propagation model based on Bayesian decision theory;
[0051] S2. After step S1, several sub-controllers receive the network symptom information sent by the transponder, and then send the network symptom information to the main controller;
[0052] S3. After step S2, the master controller generates FPM summary request information, and sends it to relevant sub-controllers;
[0053] S4. After step S3, the sub-controller generates the FP...
Embodiment 2
[0078] This embodiment is similar to Embodiment 1, except that in this embodiment, in step S5, the formula for calculating the ability of the failure set h to explain symptoms is:
[0079]
[0080] In the formula, BF(f) represents the belief function that the fault f actually occurs, Indicates the trust value of all fault information contained in the fault set h, Denotes the probability that the observed symptom is caused by at least one fault f in the fault set h.
[0081] The calculation formula of the trust function that the fault f actually occurs is:
[0082]
[0083] In the formula, pro(f) represents the probability that fault f causes at least one symptom s to occur, N f Indicates the number of links that will be affected when a fault f occurs, |S f |Denotes the number of symptoms s caused by fault f;
[0084] Among them, the calculation formula of the probability that the fault f causes at least one symptom s to occur is:
[0085]
[0086] In the formul...
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